Clustering as an EDA method: the case of pedestrian directional flow behavior.
Kardi Teknomo
Ateneo de Manila University
Ma. Regina E. Estuar
Ateneo de Manila University
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Keywords

Gaussian Mixture
directional flow pattern
pedestrian behavior
trajectory analysis

How to Cite

Teknomo, K., & E. Estuar, M. R. (2010). Clustering as an EDA method: the case of pedestrian directional flow behavior. International Journal of Psychological Research, 3(1), 23-36. https://doi.org/10.21500/20112084.820
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Abstract

Given the data of pedestrian trajectories in NTXY format, three clustering methods of K Means, Expectation Maximization (EM) and Affinity Propagation were utilized as Exploratory Data Analysis to find the pattern of pedestrian directional flow behavior. The analysis begins without a prior notion regarding the structure of the pattern and it consequentially infers the structure of directional flow pattern. Significant similarities in patterns for both individual and instantaneous walking angles based on EDA method are reported and explained in case studies.
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References

Bierlaire, M., Antonini, G., & Weber, M. (2003). Behavioral dynamics for pedestrians. In K.

Axhausen, Moving through nets: The physical and social dimensions of travel. Elsevier.

Brillinger, D., Preisler, H., Haiganoush, K., Ager, A., & Kie, J. (2004). An exploratory data analysis (EDA) of the paths of moving animals. Journal of Statistical Planning and Inference 122 , 43-63.

Chebat, J., Gélinas-Chebat, C., & Therrien, K. (2005). Lost in a mall, the effects of gender, familiarity with the shopping mall and the shopping values on shoppers’ way finding processes. Journal of Business Research , 58 (11), 1590– 1598.

de Mast, J., & Trip, A. (2008). Exploratory data analysis in quality improvement projects. Journal of Quality Technology , 39 (4), 301-311.

Dempster, A., Laird, N., & Rubin, D. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B , 39 (1), 1-38.

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